← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Bayesian Inference

1724 directly classified papers

Papers per year

Papers

On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024
Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024
Bayesian Regression Markets JMLR 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Online Bayesian Persuasion Without a Clue NIPS 2024
Probabilistic size-and-shape functional mixed models NIPS 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NIPS 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024
Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024
More Labels or Cases? Assessing Label Variation in Natural Language Inference EACL 2024
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division IJCAI 2024
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models IJCAI 2024
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
Causal vs. Anticausal merging of predictors NIPS 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
Generalized Variational Inference via Optimal Transport AAAI 2024
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation NIPS 2024
Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection ICML 2023